PyFourStepsPlugin.NodeOutputElement

class NodeOutputElement

Synopsis

Methods

Note

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__init__()
__init__(iResult)
Parameters:

iResultGKGenericExperiment

__init__(iElement)
Parameters:

iElementNodeOutputElement

equivalent(iElement)
Parameters:

iElementNodeOutputElement

Return type:

bool

getDescription([iModel=None[, withDiscriminantName=true]])
Parameters:
  • iModelGKModel

  • withDiscriminantName – bool

Return type:

str

getDiscriminant(iDiscriminant)
Parameters:

iDiscriminantDataDiscriminant

Return type:

object

getDiscriminants()
Return type:

.list of FourSteps.DataDiscriminant

getModes()
Return type:

.list of qint32

getModes(iModel)
Parameters:

iModelGKModel

Return type:

.list of GKObject

getOutputType()
Return type:

EDataObjectType

getOutputTypeName()
Return type:

str

getPurpose()
Return type:

int

getTargetId()
Return type:

int

getTripPurpose(iModel)
Parameters:

iModelGKModel

Return type:

GKTripPurpose

getVehicle()
Return type:

int

hasDiscriminant(iDiscriminant)
Parameters:

iDiscriminantDataDiscriminant

Return type:

bool

__eq__(iElement)
Parameters:

iElementNodeOutputElement

Return type:

bool

removeDiscriminant(iDiscriminant)
Parameters:

iDiscriminantDataDiscriminant

setDiscriminant(iDiscriminant, dataVal)
Parameters:
setModes(modes)
Parameters:

modes – .list of qint32

setOutputType(iOutputType)
Parameters:

iOutputTypeEDataObjectType

setPurpose(purpose)
Parameters:

purpose – int

setTargetId(targetId)
Parameters:

targetId – int

setVehicle(vehicle)
Parameters:

vehicle – int